Design and simulate computer vision and video processing systems

Computer Vision System Toolbox™ provides algorithms, functions, and apps for designing and simulating computer vision and video processing systems. You can perform feature detection, extraction, and matching, as well as object detection and tracking. For 3D computer vision, the system toolbox supports single, stereo, and fisheye camera calibration; stereo vision; 3D reconstruction; and 3D point cloud processing.

Algorithms for deep learning and machine learning enable you to detect faces, pedestrians, and other common objects using pretrained detectors. You can train a custom detector using ground truth labeling with training frameworks such as Faster R-CNN and ACF. You can also classify image categories and perform semantic segmentation.

Algorithms are available as MATLAB® functions, System objects™, and Simulink® blocks. For rapid prototyping and embedded system design, the system toolbox supports fixed-point arithmetic and C-code generation.